An IoT Based Smart Water Contamination Monitoring System

In the current era of urbanization, there is a need for effective monitoring and alert the concerned water body maintenance agencies to control the contamination levels in the residential water supply. Because of the increasing population and exponential growth of pollution, this task of quality water supply becomes challenging. At present, the concerned water quality maintenance agencies rely on traditional techniques. In this method, they are collecting samples of suspected water from the tanks and dams. Then send these samples to concerned laboratories for testing the level of contamination in the sample. This is not only a time-consuming process but also a costly affair. Also, with the existing method, dissemination of analyzed real-time data to the concerned stakeholders for taking necessary timely action has become a cumbersome job. To overcome all the issues this novel system is proposed. In this paper, a real-time water contamination monitoring system is developed using Internet of Things (IoT) and Embedded Systems. This system can able to estimate the water quality in residential homes as well water body tanks. The system consists of an Arduino Uno, ESP 8266, Analog to Digital Converter, pH sensor, turbidity sensor, temperature sensor, and other electronic components. With this setup, the water contamination can be estimated by measuring the pH value, turbidity of water and temperature of the water. The measured values at the edge level are then pushed to ThingSpeak cloud server via the ESP8266 wifi module. The accumulated data is analyzed in the cloud and from which the results are accessed via an interfacing device. The results obtained can help determine the quality of the water sample to be tested. The system has achieved the intelligence of data processing and networking of information transfer for automated water quality monitoring. It is distinguished by the advantages of efficiency, accuracy, and frugal use of labour and material resources.